def test_convenience_funcs(self):
trackpy.quiet(True)
self.assertEqual(trackpy.logger.level, logging.WARN)
trackpy.quiet(False)
self.assertEqual(trackpy.logger.level, logging.INFO)
trackpy.ignore_logging()
self.assertEqual(len(trackpy.logger.handlers), 0)
self.assertEqual(trackpy.logger.level, logging.NOTSET)
self.assertTrue(trackpy.logger.propagate)
trackpy.handle_logging()
self.assertEqual(len(trackpy.logger.handlers), 1)
self.assertEqual(trackpy.logger.level, logging.INFO)
self.assertEqual(trackpy.logger.propagate, 1)
def test_convenience_funcs(self):
trackpy.quiet(True)
self.assertEqual(trackpy.logger.level, logging.WARN)
trackpy.quiet(False)
self.assertEqual(trackpy.logger.level, logging.INFO)
trackpy.ignore_logging()
self.assertEqual(len(trackpy.logger.handlers), 0)
self.assertEqual(trackpy.logger.level, logging.NOTSET)
self.assertTrue(trackpy.logger.propagate)
trackpy.handle_logging()
self.assertEqual(len(trackpy.logger.handlers), 1)
self.assertEqual(trackpy.logger.level, logging.INFO)
self.assertEqual(trackpy.logger.propagate, 1)
base_path
|--Film1
| |--1
| | |--images
| |--2
| | |--images
| |--3
|--Film2
| |--1
'''
import numpy as np
import pandas as pd
import pims
import trackpy as tp
tp.ignore_logging()
from skimage import data, color
from skimage.filters import threshold_local
import skimage
# warning.catch_warnings
import glob
import os
import sys
import cv2 as cv
from tkinter import filedialog, Tk
from joblib import Parallel, delayed
#User options#
THRESH = 134
crop = [0, 00] #Distance from left and right to crop out